Embedded Engineer Salary at Datapoint Info BETA

How much does a Datapoint Info Embedded Engineer make?

25% $76,466 10% $74,272 90% $84,905 75% $82,039 $78,890 50%(Median)

As of August 2026, the average salary for Embedded Engineer at Datapoint Info in the United States is $78,890 per year, which is equivalent to an hourly rate of approximately $38. Most salaries for this position fall within the range of $76,466 to $82,039 annually.

The exact salary offered will depend on factors such as a candidate's years of experience, skills, department and location.

DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.

Key Skills & Their Impact on an Embedded Engineer at Datapoint Info?

To succeed and maximize your earning potential as an Embedded Engineer at Datapoint Info, a specific set of skills is crucial. The competencies listed below are highly valued. Explore the skills that can boost your compensation.

Skills Level of importance Description
Linux
Managing a system's hardware and resources using a Unix-like open-source operating system.
Computer science
Computer science is the study of computation, automation, and information.
Embedded software
Using a computer system to control and monitor the hardware's functions within a physical environment.
Python
Applying the concepts and algorithms of Python to design, develop and maintain software applications to comply with business requirements.
Software Design
Software design is the process by which an agent creates a specification of a software artifact, intended to accomplish goals, using a set of primitive components and subject to constraints.

Embedded Engineer Career Path and Growth Opportunities

Understanding the career path for an Embedded Engineer can help you plan long-term professional growth. Below is a typical career progression for an Embedded Engineer, highlighting common next-step roles and opportunities for increased responsibility and compensation.

Datapoint Info Overview

Website
www.datapointinfo.com
Founded In
2001
Employees
50 - 100 employees
Industry
MFG Durable
Headquarter Address
20041 Osterman Rd Lake Forest California CA 92630
Revenue
$10 Million - $50 Million
Phone Number
+1 9496089450
Social Media
About Datapoint Info
DATAPOINT established in the year 2001 has made a mark in IT Consulting and Staffing. n the verge of our expansion we gradually moved our operations to Software Development , Web Designing and Development. We are uniquely positioned - geographically and strategically to help organizations achieve their business goals through effective and cost efficient solutions for their Business needs. We have

Companies Similar to Datapoint Info

Explore other companies related to Datapoint Info within the same industry. Compare company profiles, services, and insights to see how Datapoint Info aligns with its peers. Click a company to learn more.

FAQ about Salary and Jobs at Datapoint Info

FAQ 1: How much does Datapoint Info pay per hour?
The average hourly pay is $38. The salary for each employee depends on several factors, including the level of experience, work performance, certifications and skills.
FAQ 2: What is the highest salary at Datapoint Info?
According to the data, the highest approximate salary is about $82,039 per year. Salaries are usually determined by comparing other employees’ salaries in similar positions in the same region and industry.
FAQ 3: What is the lowest pay at Datapoint Info?
According to the data, the lowest estimated salary is about $76,466 per year. Pay levels are mainly influenced by market forces, supply and demand, and social structures.
FAQ 4: What steps can an employee take to increase their salary?
There are various ways to increase the wage. Level of education: An employee may receive a higher salary and get a promotion if they obtain advanced degrees. Experience in management: an employee with supervisory experience can increase the likelihood to earn more.